This proj. introduces two db construction methods and recognition methods, achieving fast and accurate aircraft movement recognition. It starts with flight segment machine ID, then integrates labelled aircraft fragments for training and verification db construction, and trains FCNN and CNN. The method exhibits excellent recognition capabilities.
automated-parsing-of-tacview-flight-data rule-based-maneuver-extraction spatial-feature-engineering pca-based-dimensionality-reduction time-series-to-rgb-image-transformation fcnn-for-sequence-classification cnn-for-trajectory-pattern-recognition interactive-3d-trajectory-visualization action-labeling-and-database
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Updated
Mar 20, 2026 - Python